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Volume 29, Number 11—November 2023
Research

Simulation Study of Surveillance Strategies for Faster Detection of Novel SARS-CoV-2 Variants

Selina PatelComments to Author , Fergus Cumming, Carl Mayers, André Charlett1, and Steven Riley1
Author affiliations: University College London, London, UK (S. Patel); UK Health Security Agency, London (S. Patel, F. Cumming, C. Mayers, A. Charlett, S. Riley); Imperial College London, London (S. Riley)

Main Article

Table 2

Simulated time to detect a novel variant since index case through hospital testing in study of traveler testing for surveillance of novel SARS-CoV-2 variants

Infection hospitalization rate (%) Empirical percentiles of simulated time to detection distribution, d
5th 25th Median 75th 95th
0.01 (1) 124 141 150 157 167
0.015 (1.5) 122 138 147 154 162
0.02 (2) 117 134 143 151 159
0.025 (2.5) 115 132 142 149 159

Main Article

1These senior authors contributed equally to this article.

Page created: September 29, 2023
Page updated: October 23, 2023
Page reviewed: October 23, 2023
The conclusions, findings, and opinions expressed by authors contributing to this journal do not necessarily reflect the official position of the U.S. Department of Health and Human Services, the Public Health Service, the Centers for Disease Control and Prevention, or the authors' affiliated institutions. Use of trade names is for identification only and does not imply endorsement by any of the groups named above.
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